Though antiretroviral therapy is the standard of care for people living with HIV, its treatment limitations, burdens, stigma and costs lead to continued interest in HIV cure research. Early-phase cure trials, particularly those that include analytic treatment interruption, involve uncertain and potentially high risk, with minimal chance of clinical benefit. Some question whether such trials should be offered, given the risk/benefit imbalance, and whether those who choose to participate are acting rationally. We address these questions through a longitudinal decision-making study (...) nested in a Thai acute HIV research cohort. In-depth interviews revealed central themes about decisions to join. Participants felt they possessed an important identity as members of the acute cohort, viewing their bodies as uniquely suited to both testing and potentially benefiting from HIV cure approaches. While acknowledging risks of ATI, most perceived they were given an opportunity to interrupt treatment, to test their own bodies and increase normalcy in a safe, highly monitored circumstance. They were motivated by potential benefits to themselves, the investigators and larger acute cohort, and others with HIV. They believed their own trial experiences and being able to give back to the community were sufficient to offset participation risks. These decisions were driven by the specific circumstances experienced by our participants. Judging risk/benefit ratios without appreciating these lived experiences can lead to false determinations of irrational decision- making. While this does not minimise vital oversight considerations about risk reduction and protection from harm, it argues for inclusion of a more participant-centered approach. (shrink)

This volume offers an exciting new reading of John Ruskin's economic and social criticism, based on recent research into rhetoric in economics. Willie Henderson uses notions derived from literary criticism, the rhetorical turn in economics and more conventional approaches to historical economic texts to reevaluate Ruskins economic and social criticism. By identifying Ruskin's rhetoric, and by reading his work through that of Plato, Xenophon, and John Stuart Mill, Willie Henderson reveals how Ruskin manipulated a knowledge base. Moreover (...) in analysis of the writings of William Smart, John Bates Clark and Alfred Marshall, the author shows that John Ruskin's influence on the cultural significance of economics and on notions of economic well-being has been considerable. (shrink)

The essays in this volume, with the exception of Gary Ferngren's, derive from ancestral versions originally presented at a symposium, 'Conflicts with Newborns: Saving Lives, Scarce Resources, and Euthanasia: held May 10-12,1984, at the Mercer University School of Medicine, Macon, Georgia. We wish to express our gratitude to the Georgia Endowment for the Humanities for a generous grant for the symposium and to Mercer University and the Medical Center of Central Georgia for additional financial support. The vit:ws expressed in this (...) volume do not necessarily represent those of the Georgia Endowment for the Humani ties, Mercer University, or the Medical Center of Central Georgia. We have endeavored to bring together a group of individuals with contrast ing viewpoints to display some of the range of approaches to a major problem in public policy: medical decisions regarding the treatment of defective newborns. So many persons contributed to the symposium that acknowledg ment of each would be impossible. Although unnamed, we express our sincere appreciation to each. Three individuals, however, must be recognized: R. Kirby Godsey, President, Mercer University; William P. Bristol, Dean, Mercer University School of Medicine; and Kenneth C. Henderson, Medical Director and Director of Medical Education, Medical Center of Central Georgia. Without their support, the symposium could not have succeeded and this volume would not have been possible. We wish also to express our gratitude to S. G. M. (shrink)

Although republican political theory has undergone something of a revival in recent years, some question its contemporary relevance on the grounds that republicanism has little to say about central questions of modern economic organization. In response, this paper offers an account of core republican values and then considers how capitalism stands in relation to these values. It identifies three areas of republican concern related to: the impact of unequal wealth distribution on personal liberty; the impact of the private control of (...) investment on popular sovereignty and pursuit of the common good; and the impact of capitalism on the level and quality of political participation. In view of these concerns, we can see some of the likely requirements of a distinctively republican, but contemporary political economy. (shrink)

In this work, Mill reflects on the struggle between liberty and authority and defends the view that “the only purpose for which power can be rightfully exercised over any member of a civilized community, against his will, is to prevent harm to others.” He questions the justification for the limits of freedom of conscience and religion, freedom of speech, freedom of action, and the nature of liberalism itself. This new Broadview Edition demonstrates the ways in which Mill’s intellectual landscape differed (...) markedly from our own, while also drawing attention to the reasons why the work remains relevant and essential reading in the present day. Appendices include antecedents to Mill’s work, critical discussions by his contemporaries, and related writings by Mill. Please note: Broadview offers two separate editions of On Liberty. The Kahn edition is particularly relevant to readers who are interested in how the work is situated in the history of political philosophy, whereas the Alexander edition is recommended to those most interested in the work’s Victorian literary and social contexts. (shrink)

While philosophers hold that it is patently absurd to blame robots or hold them morally responsible [1], a series of recent empirical studies suggest that people do ascribe blame to AI systems and robots in certain contexts [2]. This is disconcerting: Blame might be shifted from the owners, users or designers of AI systems to the systems themselves, leading to the diminished accountability of the responsible human agents [3]. In this paper, we explore one of the potential underlying reasons for (...) robot blame, namely the folk's willingness to ascribe inculpating mental states or "mens rea" to robots. In a vignette-based experiment (N=513), we presented participants with a situation in which an agent knowingly runs the risk of bringing about substantial harm. We manipulated agent type (human v. group agent v. AI-driven robot) and outcome (neutral v. bad), and measured both moral judgment (wrongness of the action and blameworthiness of the agent) and mental states attributed to the agent (recklessness and the desire to inflict harm). We found that (i) judgments of wrongness and blame were relatively similar across agent types, possibly because (ii) attributions of mental states were, as suspected, similar across agent types. This raised the question - also explored in the experiment - whether people attribute knowledge and desire to robots in a merely metaphorical way (e.g., the robot "knew" rather than really knew). However, (iii), according to our data people were unwilling to downgrade to mens rea in a merely metaphorical sense when given the chance. Finally, (iv), we report a surprising and novel finding, which we call the inverse outcome effect on robot blame: People were less willing to blame artificial agents for bad outcomes than for neutral outcomes. This suggests that they are implicitly aware of the dangers of overattributing blame to robots when harm comes to pass, such as inappropriately letting the responsible human agent off the moral hook. (shrink)

As Nelson Goodman highlighted, there are two main senses of “abstract” that can be found in discussions about abstract art. On the one hand, a representation is abstract if it leaves out certain features of its target. On the other hand, something can be abstract to the extent that it does not represent a concrete subject. The first sense of “abstract” is well-known in philosophy of science. For example, philosophers discuss mathematical models of physical, biological, and economic systems as being (...) abstract in this sense. However, it is the second sense that dominates discussions of abstract art in aesthetics. For example, abstract art was (and is) considered revolutionary precisely for being non-figurative. Through an analysis of artists including Kandinsky, Malevich, and Mondrian, we develop a reading of this second sense, which we call “generative abstraction,” as opposed to “subtractive” abstraction. Generative abstraction is a process in which a new artifact is created which does not represent the initial concrete target system that inspired it (if there was one), where the artifact’s features are explored for their own sake, and where the “language” of the new artifact is in some way more “universal.” Focusing on this sense of abstraction is helpful in revealing the complexity of the process of crafting an abstract artifact, in problematizing the notion that abstraction can always be un-done (or concretized), as well as revealing new ways for abstractions to be epistemically (un)successful. (shrink)

Can an ugly experiment be a good experiment? Philosophers have identified many beautiful experiments and explored ways in which their beauty might be connected to their epistemic value. In contrast, the present chapter seeks out (and celebrates) ugly experiments. Among the ugliest are those being designed by AI algorithms. Interestingly, in the contexts where such experiments tend to be deployed, low aesthetic value correlates with high epistemic value. In other words, ugly experiments can be good. Given this, we should conclude (...) that beauty is not generally necessary or sufficient for epistemic value, and increasing beauty will not generally tend to increase epistemic value. (shrink)

Imagination is important for many things in science: solving problems, interpreting data, designing studies, etc. Philosophers of imagination typically account for the productive role played by imagination in science by focusing on how imagination is constrained, e.g., by using self-imposed rules to infer logically, or model events accurately. But the constraints offered by these philosophers either constrain too much, or not enough, and they can never account for uses of imagination that are needed to break today’s constraints in order to (...) make progress tomorrow. Thus, epistemology of imagination needs to make room for an element of epistemological anarchy. (shrink)

Imagination is necessary for scientific practice, yet there are no in vivo sociological studies on the ways that imagination is taught, thought of, or evaluated by scientists. This article begins to remedy this by presenting the results of a qualitative study performed on two systems biology laboratories. I found that the more advanced a participant was in their scientific career, the more they valued imagination. Further, positive attitudes toward imagination were primarily due to the perceived role of imagination in problem-solving. (...) But not all problem-solving episodes involved clear appeals to imagination, only maximally specific problems did. This pattern is explained by the presence of an implicit norm governing imagination use in the two labs: only use imagination on maximally specific problems, and only when all other available methods have failed. This norm was confirmed by the participants, and I argue that it has epistemological reasons in its favour. I also found that its strength varies inversely with career stage, such that more advanced scientists do (and should) occasionally bring their imaginations to bear on more general problems. A story about scientific pedagogy explains the trend away from (and back to) imagination over the course of a scientific career. Finally, some positive recommendations are given for a more imagination-friendly scientific pedagogy. (shrink)

Scientists recognize the necessity of imagination for solving tough problems. But how does the cognitive faculty responsible for daydreaming help in solving scientific problems? Philosophers claim that imagination is informative only when it is constrained to be maximally realistic. However, using a case study from space science, we show that scientists use imagination intentionally to break reality-oriented constraints. To do this well, they first target low-confidence constraints, and then higher-confidence constraints, until a plausible solution is found. This paper exemplifies a (...) new approach to epistemology of imagination that focuses on sets of imaginings (rather than individual imaginings), and responsible (rather than reliable) imaginings. (shrink)

This chapter contains sections titled: Introduction The Republicanism of Rawls's Liberalism: An Open Question Property‐Owning Democracy Justice and Stability Tocqueville on the Ills of Democratic Personality The Republican Response Some Objections Conclusion: Lessons for Republicans and Liberals References.

Scientists imagine constantly. They do this when generating research problems, designing experiments, interpreting data, troubleshooting, drafting papers and presentations, and giving feedback. But when and how do scientists learn how to use imagination? Across 6 years of ethnographic research, it has been found that advanced career scientists feel comfortable using and discussing imagination, while graduate and undergraduate students of science often do not. In addition, members of marginalized and vulnerable groups tend to express negative views about the strength of their (...) imaginations and the general usefulness of imagination in science. After introducing these findings and discussing the typical relationship between a scientist and their imagination across a career, we argue that reducing the number or power of active imaginations in science is epistemically counterproductive. We suggest several ways to bring imagination back into science in a more inclusive way, especially through courses on imagination for scientists, good role models, and exemplar-based learning. (shrink)

Democratic equality challenges both utilitarianism and classical liberal and libertarian thought which continues to exert a major influence in the politics of many capitalist countries. This chapter aims to clarify the content of, and motivation for, democratic equality. Section 1 begins with an outline of democratic equality. It introduces and clarifies, in a preliminary way, two key elements of democratic equality: the notion of fair equality of opportunity and the difference principle. Section 2 explains why Rawls considers democratic equality a (...) better account of what justice requires than rival accounts. Sections 3 and 4 briefly review some outstanding interpretative and normative issues within democratic equality. Section 4 also looks at the question of how far democratic equality can properly incorporate the just claims of sick and disabled people. Democratic equality incorporates a principle of productive reciprocity, however, this incorporation of productive reciprocity in democratic equality remains rather undeveloped. (shrink)

Attempts to unravel the complex and often conflicting character of the counterculture philosopher who advocated total freedom and introduced the rebellious youth of the 1950s and 60s to Zen Buddhism.

A thorough-going re-elaboration of modern experience via the senses.

Recognition has, over the past three decades, come to occupy a central place in moral and political philosophy, and critical theory; but to the extent that scholars have exhibited an interest in tr...

In Rethinking the Enlightenment, Dr. Stuart demonstrates that the three primary strategies employed during the Enlightenment -- conflict, engagement, and retreat -- are time-tested methods that should be employed in our own anti-Christian age"--The publisher.

Imagination is extremely important for science, yet very little is known about how scientists actually use it. Are scientists taught to imagine? What do they value imagination for? How do social and disciplinary factors shape it? How is the labor of imagining distributed? These questions should be high priority for anyone who studies or practices science, and this paper argues that the best methods for addressing them are qualitative. I summarize a few preliminary findings derived from recent interview-based and observational (...) qualitative studies that I have performed. These finding include: (i) imagination is only valued for use in addressing maximally specific problems, and only when all else fails; (ii) younger scientists and scientists who are members of underrepresented groups express less positive views about imagination in general, and have less confidence in their own imaginations; (iii) while scientists seem to employ various epistemological frameworks to evaluate imaginings, overall they appear to be epistemic consequentialists about imagination, and this holds also for their evaluations of the tools they use to extend the power of their imaginations. I close by discussing the epistemic and ethical consequences of these findings, and then suggesting a few research avenues that could be explored next as we move forward in the study of scientific imagination. (shrink)

One.The Glass is Always Half-full? Countering the Optimists -- Two. The `Doomsday Clock' is Always with Us: Pessimism in History -- Three. Optimists v. Pessimists: Economics and Politics -- Four. I Think, Therefore I Expect the Worst: Pessimism in Philosophy -- Five. A World Without Meaning: Pessimism in Literary Fiction -- Six. Visions of Despair: Pessimism in the Arts -- Seven. The Benefits of a Half-empty Glass: Pessimism as a Lifestyle.

In this short paper I will introduce an idea which, I will argue, presents a fundamental additional challenge to the machine consciousness community. The idea takes the questions surrounding phenomenology, qualia and phenomenality one step further into the realm of intersubjectivity but with a twist, and the twist is this: that an agent’s intersubjective experience is deeply felt and necessarily co-affective; it is enkinaesthetic, and only through enkinaesthetic awareness can we establish the affective enfolding which enables first the perturbation, and (...) then the balance and counter-balance, the attunement and co-ordination of whole-body interaction through reciprocal adaptation. (shrink)

This is a book review of Karim Bschir and Jamie Shaw (eds.); Interpreting Feyerabend: critical essays. Cambridge: Cambridge University Press, 2021, 290 pp, $99.99 HB.

The dictum ‘“ought” implies “can”’ has a status in moral philosophy in some respects like that of ‘a good player needs good co-ordination’ in talk about ball-games. Clearly, you say something important but not conclusive about proficiency in playing a ball-game when you say that it requires good co-ordination: similarly, you say something important but not conclusive about obligation when you say that it implies a certain possibility or power or ability. Each dictum is a reminder: the one about such (...) courses of physical instruction, the other about such exhortations to duty, as are worth persevering with. It would be hopeless to keep on teaching a boy the moves and tricks of rugby football if he could never co-ordinate well enough to get his eye in, so to speak. Correspondingly, it would be meaningless to recommend that someone ought to do something the specification of which involved a contradiction, and pointless to suggest that he ought to do something which, for quite general reasons, was not, and was certain to remain not, within his power. So each dictum expresses a bluff, no-nonsense wisdom which we should count on before involving ourselves in certain more detailed commitments. But probably this is as far as the comparison between the two sayings can well be taken. (shrink)

Activist, journalist, and theorist, Eqbal Ahmad was admired by and consulted by activists and policymakers. He inspired new ways of thinking about militant Islam, the U.S. involvement in Vietnam, and the Cold War. This intellectual biography relates Ahmad's life to the political transformations that occurred globally in the second half of the twentieth century"--Provided by publisher.

This paper examines three medical student poems about death to explore how medical students use poetry to understand their encounters with dying patients and to discuss how these poems function as elegies in the context of medical culture.

Ethicists and economists commonly assume that if A is all things considered better than B, and B is all things considered better than C, then A is all things considered better than C. Call this principle Transitivity. Although it has great conceptual, intuitive, and empirical appeal, I argue against it. Larry S. Temkin explains how three types of ethical principle, which cannot be dismissed a priori, threaten Transitivity: (a) principles implying that in some cases different factors are relevant to comparing (...) A to C than to comparing A to B or B to C; (b) principles of limited scope; (c) principles implying that morally relevant differences in degree can amount to differences in kind. My counterexamples employ a principle of type (c): pleasures and pains enormously different in intensity differ in kind. Temkin has also endorsed this type of counterexample, using arguments based on earlier drafts of this paper. (shrink)

This volume argues for a new image of science that understands both natural and social phenomena to be the product of mechanisms, casting the work of science as an effort to understand those mechanisms. Glennan offers an account of the nature of mechanisms and of the models used to represent them in physical, life, and social sciences.

Stuart Kauffman here presents a brilliant new paradigm for evolutionary biology, one that extends the basic concepts of Darwinian evolution to accommodate recent findings and perspectives from the fields of biology, physics, chemistry and mathematics. The book drives to the heart of the exciting debate on the origins of life and maintenance of order in complex biological systems. It focuses on the concept of self-organization: the spontaneous emergence of order widely observed throughout nature. Kauffman here argues that self-organization plays (...) an important role in the emergence of life itself and may play as fundamental a role in shaping life's subsequent evolution as does the Darwinian process of natural selection. Yet until now no systematic effort has been made to incorporate the concept of self-organization into evolutionary theory. The construction requirements which permit complex systems to adapt remain poorly understood, as is the extent to which selection itself can yield systems able to adapt more successfully. This book explores these themes. It shows how complex systems, contrary to expectations, can spontaneously exhibit stunning degrees of order, and how this order, in turn, is essential for understanding the emergence and development of life on Earth. Topics include the new biotechnology of applied molecular evolution, with its important implications for developing new drugs and vaccines; the balance between order and chaos observed in many naturally occurring systems; new insights concerning the predictive power of statistical mechanics in biology; and other major issues. Indeed, the approaches investigated here may prove to be the new center around which biologicalscience itself will evolve. The work is written for all those interested in the cutting edge of research in the life sciences. (shrink)